A quasi-Monte-Carlo comparison of parametric and semiparametric regression methods for heavy-tailed and non-normal data: an application to healthcare costs [0.03%]
基于具有厚尾和非正态数据的参数回归方法与半参数回归方法的准蒙特卡洛比较：来自医疗费用的应用证据
Andrew M Jones,James Lomas,Peter T Moore et al.
Andrew M Jones et al.
We conduct a quasi-Monte-Carlo comparison of the recent developments in parametric and semiparametric regression methods for healthcare costs, both against each other and against standard practice. The population of English National Health ...
Estimating the health benefit of reducing indoor air pollution in a randomized environmental intervention [0.03%]
估算改善室内空气质量的随机分派环境干预措施对健康的效益
Roger D Peng,Arlene M Butz,Amber J Hackstadt et al.
Roger D Peng et al.
Recent intervention studies targeted at reducing indoor air pollution have demonstrated both the ability to improve respiratory health outcomes and to reduce particulate matter (PM) levels in the home. However, these studies generally do no...
Longitudinal analysis of the strengths and difficulties questionnaire scores of the Millennium Cohort Study children in England using M-quantile random-effects regression [0.03%]
利用M-量化值随机效应回归对英国千禧一代队列研究中儿童Strengths and Difficulties问卷得分进行纵向分析
Nikos Tzavidis,Nicola Salvati,Timo Schmid et al.
Nikos Tzavidis et al.
Multilevel modelling is a popular approach for longitudinal data analysis. Statistical models conventionally target a parameter at the centre of a distribution. However, when the distribution of the data is asymmetric, modelling other locat...
Do household surveys give a coherent view of disability benefit targeting?: a multisurvey latent variable analysis for the older population in Great Britain [0.03%]
英国家庭调查是否能就残疾人福利的给付情况提供一致的观点？英国老年人口多调查潜在变量分析的一项研究
Ruth Hancock,Marcello Morciano,Stephen Pudney et al.
Ruth Hancock et al.
We compare three major UK surveys, the British Household Panel Survey, Family Resources Survey and the English Longitudinal Study of Ageing, in terms of the picture that they give of the relationship between disability and receipt of the at...
Latent class profile analysis: an application to stage-sequential process in early-onset drinking behaviours [0.03%]
潜在类别轮廓分析在青少年饮酒行为阶段性连续过程中的应用
Hwan Chung,James C Anthony,Joseph L Schafer
Hwan Chung
Earlier age of drinking is a well-known predictor for a variety of adverse public health consequences in the United States and worldwide. In longitudinal research on early-onset drinkers, a great deal of attention has been paid to the ident...
Krista J Gile,Lisa G Johnston,Matthew J Salganik
Krista J Gile
Respondent-driven sampling (RDS) is a widely used method for sampling from hard-to-reach human populations, especially populations at higher risk for HIV. Data are collected through peer-referral over social networks. RDS has proven practic...
Cristiano Varin,Manuela Cattelan,David Firth
Cristiano Varin
Rankings of scholarly journals based on citation data are often met with scepticism by the scientific community. Part of the scepticism is due to disparity between the common perception of journals' prestige and their ranking based on citat...
Spatially Modelling the Association Between Access to Recreational Facilities and Exercise: The 'Multi-Ethnic Study of Atherosclerosis' [0.03%]
基于多元族裔动脉粥样硬化研究的休闲设施可达性和锻炼的空间计量模型分析
Samuel I Berchuck,Joshua L Warren,Amy H Herring et al.
Samuel I Berchuck et al.
Numerous studies have investigated the relationship between the built environment and physical activity. However these studies assume that these relationships are invariant over space. In this study, we introduce a novel method to analyze t...
Bayesian hierarchical models for smoothing in two-phase studies, with application to small area estimation [0.03%]
分阶段研究的贝叶斯层次平滑模型及其在小区域估计中的应用
Michelle Ross,Jon Wakefield
Michelle Ross
Two-phase study designs are appealing since they allow for the oversampling of rare sub-populations which improves efficiency. In this paper we describe a Bayesian hierarchical model for the analysis of two-phase data. Such a model is parti...
Network Model-Assisted Inference from Respondent-Driven Sampling Data [0.03%]
基于被调查者驱动抽样数据的网络模型辅助统计推断方法研究
Krista J Gile,Mark S Handcock
Krista J Gile
Respondent-Driven Sampling is a widely-used method for sampling hard-to-reach human populations by link-tracing over their social networks. Inference from such data requires specialized techniques because the sampling process is both partia...